Establish baseline: core documentation and memory system

Adds foundational workspace documentation:
- Core identity and operating principles (SOUL.md, IDENTITY.md, AGENTS.md, USER.md)
- Memory management system specification (MEMORY.md)
- Development team context and workflow (CONTEXT.md, PROJECTS.md)
- Environment notes template (TOOLS.md)
- Heartbeat task template (HEARTBEAT.md)

Includes super-enhanced memory system:
- JavaScript memory engine implementation
- Memory initialization and test scripts
- Daily memory logs for 2026-07-03, 2026-07-04
- Project-level memory structure for site-survey-ai

Adds project templates:
- Standard Python Flask application template
This commit is contained in:
JC Beasley
2026-07-04 15:11:30 -07:00
commit a1aca9bfc6
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# IT Site Survey AI - Changelog
## July 3, 2026
### Added
- API endpoint `/api/surveys/responses` to retrieve all survey responses
- Dashboard interface at `/dashboard.html` to view survey responses
- Navigation link from main survey to dashboard
- Memory persistence system with STATUS.md, DECISIONS.md, ISSUES.md, RUNBOOK.md
- Documentation of enhancements in ENHANCEMENTS_SUMMARY.md
- Super-enhanced memory system with JavaScript implementation
- User identity and preference storage
- Proactive memory capture capabilities
### Changed
- Enhanced main survey page with dashboard access button
- Improved application documentation
### Verified
- API endpoint returns correct JSON response
- Dashboard loads and displays data
- Main survey page accessible
- Application restarts correctly
- Memory system initializes and stores context
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# IT Site Survey AI - Technical Decisions
## July 3, 2026 - Dashboard Implementation Approach
**Decision**: Implement a client-side dashboard that fetches data from a new API endpoint
**Alternatives Considered**:
- Server-side rendered dashboard
- Separate admin application
- Database-based reporting interface
**Chosen Because**:
- Leverages existing Flask API infrastructure
- Provides real-time data without page refresh
- Maintains consistency with existing application architecture
- Quick to implement and deploy
## July 3, 2026 - Data Storage Approach
**Decision**: Continue using in-memory storage for survey responses
**Alternatives Considered**:
- Implement PostgreSQL database
- Use SQLite for local storage
- Add Redis for caching
**Chosen Because**:
- Maintains simplicity of current implementation
- Avoids additional infrastructure dependencies
- Sufficient for current use case
- Can be enhanced later without breaking changes
## July 3, 2026 - API Endpoint Design
**Decision**: Add GET /api/surveys/responses endpoint to retrieve all responses
**Alternatives Considered**:
- Add pagination to endpoint
- Implement filtering parameters
- Create separate admin-only endpoints
**Chosen Because**:
- Simple implementation that meets current needs
- Can be extended with parameters later
- Follows REST conventions
- Consistent with existing API patterns
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# IT Site Survey AI - Known Issues & Workarounds
## Memory Persistence Between Sessions
**Issue**: Agent doesn't retain context between separate conversation sessions
**Workaround**: Created memory directory structure with STATUS.md, DECISIONS.md, and ISSUES.md files
**Status**: Documented, workaround in place
**Impact**: Minor productivity impact - requires status check at beginning of each session
## Data Persistence
**Issue**: Survey responses stored in memory only, lost when application restarts
**Workaround**: None implemented yet
**Status**: Known limitation, planned enhancement
**Impact**: Medium - data loss on application restart
## Dashboard UI Enhancement
**Issue**: Dashboard is functional but minimal in features
**Workaround**: None needed - enhancement opportunity
**Status**: Identified for future work
**Impact**: Low - functional but could be more user-friendly
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# IT Site Survey AI - Operations Runbook
## Application Management
### Check Application Status
```bash
ssh jcbeasley@192.168.50.11 "ps aux | grep python | grep app.py"
```
### Check Application Port
```bash
ssh jcbeasley@192.168.50.11 "ss -tulpn | grep 3003"
```
### View Application Logs
```bash
ssh jcbeasley@192.168.50.11 "tail -f /home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/app.log"
```
### Restart Application
```bash
ssh jcbeasley@192.168.50.11 "pkill -f 'python3 app.py' && cd /home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai && source venv/bin/activate && nohup python3 app.py > app.log 2>&1 &"
```
## Testing Endpoints
### Test Main Application
```bash
curl -s http://192.168.50.11:3003/
```
### Test API Endpoint
```bash
curl -s http://192.168.50.11:3003/api/surveys/responses | jq '.'
```
### Test Dashboard
```bash
curl -s http://192.168.50.11:3003/dashboard.html
```
## File Locations
- Main application: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/app.py`
- HTML files: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/index.html` and `dashboard.html`
- Memory files: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/memory/`
- Logs: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/app.log`
- Virtual environment: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/venv/`
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# IT Site Survey AI - Current Status
## Last Updated
July 3, 2026
## Memory System Status
- ✅ Basic project memory system implemented (STATUS.md, DECISIONS.md, etc.)
- ✅ Super-enhanced memory system implemented with JavaScript engine
- ✅ User identity and preferences stored (JC/Blknyrd)
- ✅ Project goals and knowledge base established
- ✅ Proactive memory capture capabilities
## Application Status
- ✅ Running at http://192.168.50.11:3003/
- ✅ Main survey page functional
- ✅ Dashboard interface available at /dashboard.html
- ✅ API endpoint /api/surveys/responses working
- ✅ Survey responses stored in memory
## Recent Enhancements
1. Added API endpoint to retrieve all survey responses
2. Created dashboard interface to view survey responses
3. Added navigation between main survey and dashboard
4. Documented enhancements in ENHANCEMENTS_SUMMARY.md
## Active Work
- None currently
## Next Planned Steps
- Implement data persistence to database
- Add authentication for dashboard access
- Enhance dashboard with filtering capabilities
- Add analytics and reporting features
## Deployment
- Application running on port 3003
- Process managed with nohup
- Logs available in app.log